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R语言 ChemmineR包 APset-class()函数中文帮助文档(中英文对照)

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发表于 2012-2-25 14:40:36 | 显示全部楼层 |阅读模式
APset-class(ChemmineR)
APset-class()所属R语言包:ChemmineR

                                        Class "APset"
                                         类“APset”

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

List-like container for storing the atom pair descriptors of a many compounds as objects of class AP. This container is used for structure similarity searching of compounds.
列表类似的容器,用于存储了许多化合物的原子对描述对象类AP。该容器用于化合物的结构相似性搜索。


类的对象----------Objects from the Class----------

Objects can be created by calls of the form new("APset", ...).
创建对象可以通过检测的形式new("APset", ...)。


插槽----------Slots----------




AP: Object of class "list"
AP类"list":对象




ID: Object of class "character"
ID类"character":对象


方法----------Methods----------




[ signature(x = "APset"): subsetting of class with bracket operator
[signature(x = "APset"):子集类与括号运算符




[[ signature(x = "APset"): returns single component as AP object
[signature(x = "APset"):返回AP对象的单个组件




[[<- signature(x = "APset"): replacement method for single AP component
[< - signature(x = "APset")单AP组件的更换方法:




[<- signature(x = "APset"): replacement method for several AP components
[< - signature(x = "APset"):几个AP组件的更换方法




ap signature(x = "APset"): returns atom pair list from AP slot
APsignature(x = "APset"):返回从AP槽的原子对列表




c signature(x = "APset"): concatenates two APset containers
Csignature(x = "APset"):串连两个APset容器




cid signature(x = "APset"): returns all compound identifiers from ID slot
CIDsignature(x = "APset"):返回从ID槽复合标识符




cid<- signature(x = "APset"): replacement method for compound identifiers in ID slot
的CID < - signature(x = "APset")方法:更换身份证槽孔复合标识符




coerce signature(from = "APset", to = "AP"): as(apset, "AP")
强制signature(from = "APset", to = "AP"):as(apset, "AP")




coerce signature(from = "APset", to = "list"): as(apset, "list")  
强制signature(from = "APset", to = "list"):as(apset, "list")




coerce signature(from = "list", to = "APset"): as(list, "APset")  
强制signature(from = "list", to = "APset"):as(list, "APset")




length signature(x = "APset"): returns number of entries stored in object
长度signature(x = "APset"):返回对象中存储的条目数




show signature(object = "APset"): prints summary of APset  
显示signature(object = "APset"):APset版画总结




view signature(x = "APset"): prints extended summary of APset
查看signature(x = "APset")打印APset扩展摘要


作者(S)----------Author(s)----------



Thomas Girke




参考文献----------References----------

in 2D fragment-based similarity searching: comparison of structural descriptors and similarity coefficients", in J Chem Inf Comput Sci.

参见----------See Also----------

Related classes: SDF, SDFset, SDFstr, AP.
相关类别:自卫队,SDFset,SDFstr,美联社。

Functions: SDF2apcmp, apset2descdb, cmp.search, cmp.similarity
功能:SDF2apcmp,apset2descdb,cmp.search,cmp.similarity


举例----------Examples----------


showClass("APset")

## Instance of SDFset class[#SDFset类的实例]
data(sdfsample)
sdfset <- sdfsample[1:50]
sdf <- sdfsample[[1]]

## Compute atom pair library[#计算原子对库]
ap <- sdf2ap(sdf)
(apset <- sdf2ap(sdfset))
view(apset[1:4])

## Return main components of APset object[#返回的APset对象的主要组成部分]
cid(apset[1:4]) # compound IDs[化合物的ID]
ap(apset[1:4]) # atom pair descriptors[原子对描述]

## Return atom pairs in human readable format[#返回原子对人类可读的格式]
db.explain(apset[1])

## Coerce APset to other objects [#强迫APset其他对象]
apset2descdb(apset) # returns old list-style AP database[返回旧的列表式AP数据库]
tmp &lt;- as(apset, "list") # returns list[返回列表]
as(tmp, "APset") # converst list back to APset[converst列表回APset]

## Compound similarity searching with APset[#复合相似与APset搜索]
cmp.search(apset, apset[1], type=3, cutoff=0.2)
plot(sdfset[names(cmp.search(apset, apset[6], type=2, cutoff=0.4))])

## Identify compounds with identical AP sets [#确定化合物具有相同的AP设置]
cmp.duplicated(apset, type=2)

## Structure similarity clustering [#结构的相似性聚类]
cmp.cluster(db=apset, cutoff = c(0.65, 0.5))[1:20,]


转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。


注:
注1:为了方便大家学习,本文档为生物统计家园网机器人LoveR翻译而成,仅供个人R语言学习参考使用,生物统计家园保留版权。
注2:由于是机器人自动翻译,难免有不准确之处,使用时仔细对照中、英文内容进行反复理解,可以帮助R语言的学习。
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